The impact of meteorological and socio-economic factors on malaria in mainland China (2006–2015): A study using spatiotemporal analysis and Bayesian model

Acta Tropica, Journal Year: 2025, Volume and Issue: 263, P. 107554 - 107554

Published: Feb. 23, 2025

Language: Английский

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The Processing Spatial Data for Statistical Modeling and Visualization Case study: INLA model for COVID-19 in Alabama, USA

Acta Technica Jaurinensis, Journal Year: 2024, Volume and Issue: 17(3), P. 130 - 142

Published: Aug. 28, 2024

This research emphasizes the visualization of spatial data for statistical modelling and analysis relative risk associated with COVID-19 pandemic in Alabama, USA. We used Bayesian Integrated Nested Laplace Approximation (INLA) approach on ranging from March 11, 2020, to December 31, 2022, which included observed cases, population each Alabama counties, a Geographical map state. The geographical distribution COVID-19’s was determined using various techniques, indicating high-risk locations. study Besag-York-Mollié (BYM) models assess posterior COVID-19, it found statistically significant average decrease case rates across 67 counties evaluated. These findings have practical implications evidence-based policymaking prevention, mitigation, preparation.

Language: Английский

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Spatial Cluster Analysis of the Social Determinants of Health and Fatal Crashes Involving US Geriatric and Non-Geriatric Road Users

Trauma Care, Journal Year: 2024, Volume and Issue: 4(4), P. 266 - 281

Published: Oct. 17, 2024

Social determinants of health (SDoH) are nonmedical factors impacting outcomes. We evaluated the relationship between county-level measure SDoH and fatal crash counts among geriatric non-geriatric road users. pooled data from Fatality Analysis Reporting System limited our analyses to 3108 contiguous US counties. The outcome measures were involving (1) (65 years older), (2) non-geriatric, (3) all predictor variable was multidimensional deprivation index (MDI), a composite SDoH, measured as three-level categorical defined very highly deprived, average-to-low deprived. performed Bayesian spatial Poisson regression analysis using integrated nested Laplace approximations reported adjusted fatality rate ratios (plus 95% credible intervals (CrI)). median (Q1, Q3) standardized mortality users 1.3 (0.6, 2.5) 1.6 (0.9, 2.7), respectively. Counties classified deprived had 23% (95% CrI: 1.10–1.38) 20% CI: 1.08–1.32) increased ratios. In conclusion, improving may reduce equally

Language: Английский

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Bayesian analysis of urban theft crime in 674 Chinese cities

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 2, 2024

Current academic research on fitting the volume of urban theft crimes at a macro size is limited, especially from functionality perspective. Given this gap, study utilizes Bayesian model to conduct analysis crime data 674 cities in China 2018 2020. This aims explore novel pathways for fitting. Results indicate that functionality, particularly points interest (POIs), exhibits excellent performance crimes, with POIs related public services and commercial activities demonstrating most significant effects. successfully identifies effective indicators fitting, thereby offering new perspective supplement research. holds value gaining profound understanding criminal phenomena explaining causes mechanisms underlying differences among various China.

Language: Английский

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Bayesian hierarchical spatiotemporal modelling of tuberculosis – Human immunodeficiency virus co-infection in Ethiopia

Scientific African, Journal Year: 2024, Volume and Issue: 26, P. e02460 - e02460

Published: Nov. 12, 2024

Language: Английский

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